Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ltuzova/citation_intent_classification_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltuzova/citation_intent_classification_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ltuzova/citation_intent_classification_roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ltuzova/citation_intent_classification_roberta") model = AutoModelForSequenceClassification.from_pretrained("ltuzova/citation_intent_classification_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 0
b6a87df
-
Training in progress, epoch 0
7a540fb -
Training in progress, epoch 0
8c78d15 -
Training in progress, epoch 0
07560d0 -
Training in progress, epoch 0
ecb38c7 -
Training in progress, epoch 0
cd04254 -
Training in progress, epoch 0
d7d92bd -
Training in progress, epoch 0
2d55122 -
Training in progress, epoch 0
985fc95